ln-611-docs-structure-auditor

Solid

Checks hierarchy, links, SSOT, compression, requirements compliance, freshness, legacy cleanup. Use when auditing documentation structure.

AI & Automation 479 stars 67 forks Updated yesterday MIT

Install

View on GitHub

Quality Score: 97/100

Stars 20%
89
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

> **Paths:** File paths (`shared/`, `references/`, `../ln-*`) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root. If `shared/` is missing, fetch files via WebFetch from `https://raw.githubusercontent.com/levnikolaevich/claude-code-skills/master/skills/{path}`. # Documentation Structure Auditor (L3 Worker) **Type:** L3 Worker Specialized worker auditing structural quality of project documentation. ## Purpose & Scope - Audit documentation for **structural quality** across 7 categories - Scan all `.md` files in project, build hierarchy from `AGENTS.md` when present - Return structured findings to coordinator with severity, location, recommendations - Calculate compliance score (X/10) for Documentation Structure ## Inputs **MANDATORY READ:** Load `shared/references/audit_worker_core_contract.md`, `shared/references/docs_quality_contract.md`, `shared/references/docs_quality_rules.json`, and `shared/references/markdown_read_protocol.md`. Receives `contextStore` with: `tech_stack`, `project_root`, `output_dir`. ## Workflow 1) **Parse Context:** Extract tech stack, project root, output_dir from contextStore 2) **Load Registry if Present:** Use `docs/project/.context/doc_registry.json` as the first routing source when available 3) **Scan Docs:** Find all `.md` files in project (`AGENTS.md`, `CLAUDE.md`, `README.md`, `docs/**`) 4) **Read Section-First:** For larger docs, outline first, then read header marke...

Details

Author
levnikolaevich
Repository
levnikolaevich/claude-code-skills
Created
7 months ago
Last Updated
yesterday
Language
JavaScript
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category